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the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting areas such as health, green transition
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protein design programs and analysis tools is crucial. Knowledge of programs like Rosetta, RF-diffusion, FoldX and python is necessary. Apart from very good modeling skills, knowledge in protein production
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and European companies and international academic partners. The AI4OR group focuses on solving complex problems, which require high-level modelling, data analysis and management capabilities as
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in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our
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data analysis and statistical tools Who we are The Department of Ecoscience is engaged in research programs and advisory work covering the major biological subdisciplines. We conduct world-class research
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career development. Training in state-of-the-art technologies and data analysis as well as research management, oral and written communication. Participation to international conferences to facilitate
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equipment Experimental design, data analysis, writing of scientific articles and presentations at conferences and meetings Qualifications: As our new PhD student, you must have a two-year master's degree (120
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monitoring Statistical analysis and modelling of relevant data (e.g. environmental data). Publishing results in peer-reviewed scientific journals. Fisheries management and conservation (e.g. biodiversity
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DTU Tenure Track Researcher in Nutrition, Sustainability and Health Promotion with a focus on Sus...
collaboration internally and externally. Furthermore, preferred candidates: Have in-depth knowledge about the sustainability of foods, dietary patterns and nutrition, e.g. food systems, life cycle analysis, Have
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qualifications will be considered in the assessment: Strong background and interest in dynamic modelling and control Skills and experience with time series analysis and formulation of stochastic dynamical models